Application of the Neural Network for the Automatic Extraction and Measurement of the Peritoneum
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概要
- 論文の詳細を見る
This paper proposed a method to extract and measure the peritoneum automatically. In this algorithm, firstly, the input image is normalized and the edge between the empty area and the monolayer of the flat cells are detected. Then, the peritoneum area is extracted by the using a three layer neural network. And then measurement of the peritoneum is performed. We tested this algorithm by using the real-world image. The experiment results show that this method is very efficient and effective.
- バイオメディカル・ファジィ・システム学会の論文
著者
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Yao F
Tennessee State Univ. Tn Usa
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Shao G
Tennessee State Univ. Tn Usa
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YAO Feng-Hui
University of East Asia
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SHAO Gui-Feng
Seinan Gakuin University
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Tamaki Akikazu
University of East Asia
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YAMADA Hiroaki
University of East Asia
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KATO Kiyoshi
University of East Asia
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Yao Feng-hui
Dept. Of Computer Engineering Faculty Of Engineering Kyushu Institute Of Technology
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Tamaki Akikazu
Dept. Of Computer Engineering Faculty Of Engineering Kyushu Institute Of Technology
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Kato Kiyoshi
Graduate School Of Integrated Science & Arts University Of East Asia
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Yamada Hiroaki
Graduate School Of Integrated Science & Arts University Of East Asia
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